Senior AI/ML Scientist - GenAI & Analytics Lead

Blue Cross and Blue Shield of North Carolina

Little Rock (AR)

Hybrid

USD 144,000 - 230,000

Full time

14 days+
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Job summary

Blue Cross NC is seeking a senior AI/ML scientist to identify, research, and develop predictive, prescriptive, and Generative AI solutions that translate data into sound business decisions. You will lead complex ML systems and collaborate with cross-functional teams to deploy AI in production environments.

You will apply advanced analytics techniques, benchmark methods, and develop prototypes to demonstrate potential.

Qualifications

  • Bachelor’s degree or advanced degree required.
  • 5+ years of experience in related field.
  • In lieu of degree, 7+ years of related experience.

Responsibilities

  • Own delivery of ML/DL/GenAI systems with self-learning capabilities.
  • Design, implement, and evaluate AI systems for production use.
  • Apply prescriptive analytics techniques to business problems.
  • Lead development and testing of ML algorithms and experiments.
  • Stay updated with AI advancements and adapt methods to business needs.
  • Benchmark against existing ML methods and identify improvements.
  • Develop prototypes and PoCs to demonstrate AI feasibility.
  • Lead consultations with business partners to align AI approaches with goals.
  • Drive continuous improvement by experimenting with novel techniques.
  • Leverage software engineering principles in ML systems.
  • Identify insights and communicate results to cross-functional groups.

Skills

AI/ML
Data Analysis
Data Science
Reinforcement Learning
Deep Learning
Machine Learning
Predictive Analytics
Prescriptive Analytics
Statistical Models

Education

Bachelor's degree or advanced degree

Job description

Blue Cross NC is seeking a senior AI/ML scientist to identify, research, and develop predictive, prescriptive, and Generative AI solutions that translate data into sound business decisions. You will lead complex ML systems and collaborate with cross-functional teams to deploy AI in production environments.

You will apply advanced analytics techniques, benchmark methods, and develop prototypes to demonstrate potential.

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